Add to ORKGA method of signal decomposition on sinusoidal components (intrinsic mode functions), audio coding, a method of pitch tracking and a method of noise redaction are presented in this paper. The comparison of the performance of proposed method with other methods is analyzed
A new pitch detection method is designed by the recurrence analysis in this paper, which is combined...
Speech enhancement is performed in a wide and varied range of instruments and systems. In this paper...
It has been found that envelopes established by extrema in the empirical mode decomposition cannot a...
In recent years, a number of noise reduction methods based on empirical mode decomposition (EMD) hav...
Abstract: This paper attempts to review and summarize the use of Empirical mode decomposition (EMD) ...
Empirical Mode Decomposition (EMD) is a tool for the analysis of multi-component signals. The EMD al...
Abstract: Like almost all natural phenomena, speech is the result of many nonlinearly interacting pr...
Huang et al. (1998) [1] proposed a new nonlinear and non-stationary data analysis method based on th...
Huang’s data-driven technique of Empirical Mode Decomposition (EMD) is presented, and issues re-late...
The results of the study of the possibility of using the empirical mode decomposition method for cle...
This work reviews the advancements in the non-conventional analysis of speech signals, particularly ...
Speech enhancement is performed in a wide and varied range of instruments and systems. In this paper...
International audienceIn this paper, we propose some recent works on data analysis and synthesis bas...
In this paper the using of empirical mode decomposition for creation of the Russian phoneme models i...
Speech is the most natural source of communication for human beings. It can be produced instantaneou...
A new pitch detection method is designed by the recurrence analysis in this paper, which is combined...
Speech enhancement is performed in a wide and varied range of instruments and systems. In this paper...
It has been found that envelopes established by extrema in the empirical mode decomposition cannot a...
In recent years, a number of noise reduction methods based on empirical mode decomposition (EMD) hav...
Abstract: This paper attempts to review and summarize the use of Empirical mode decomposition (EMD) ...
Empirical Mode Decomposition (EMD) is a tool for the analysis of multi-component signals. The EMD al...
Abstract: Like almost all natural phenomena, speech is the result of many nonlinearly interacting pr...
Huang et al. (1998) [1] proposed a new nonlinear and non-stationary data analysis method based on th...
Huang’s data-driven technique of Empirical Mode Decomposition (EMD) is presented, and issues re-late...
The results of the study of the possibility of using the empirical mode decomposition method for cle...
This work reviews the advancements in the non-conventional analysis of speech signals, particularly ...
Speech enhancement is performed in a wide and varied range of instruments and systems. In this paper...
International audienceIn this paper, we propose some recent works on data analysis and synthesis bas...
In this paper the using of empirical mode decomposition for creation of the Russian phoneme models i...
Speech is the most natural source of communication for human beings. It can be produced instantaneou...
A new pitch detection method is designed by the recurrence analysis in this paper, which is combined...
Speech enhancement is performed in a wide and varied range of instruments and systems. In this paper...
It has been found that envelopes established by extrema in the empirical mode decomposition cannot a...